Lucifora, Simmons/SUPERSTAR EFFECTS IN SPORT 47 ABLE 3: Estimates of Players Eor
ID: 3367161 • Letter: L
Question
Lucifora, Simmons/SUPERSTAR EFFECTS IN SPORT 47 ABLE 3: Estimates of Players Eornings function With Superstar Effects 0.886(0.000) 0.879 (0.000) 0020 (0.000) 0046 (0.048) D0012 (0.095) ODIT8 (0025) D70 (0.702) 00003 (0.535) 00043 (0.089) 4.28E-06 (0.174)530E-06 (0.522) 00037 (0.147) -000001 (0.303) 1614 (0.117) D016(0.00 APPS 94A 0385 (0.000) APPS 94B APPS 948 SO PREV APPA REV APPA SO PREV APPR PREVAPPB SO FOR ASSIST RATE 94A 1.304 (0065) MID ASSIST RATE94A 0460 (050) FOR GOALS RATE, 94A 0.332 367) FOR GOALS RATE 948 0782 (0.001) MID GOALS RATE 4403 (s MID GOLS RATE 94 0.267 (0.668) DEF GOALS RATE 9440.076 (0858) DEF GOALS RATE 948 0.690 520) FOR STRIKE RATE SQ 2296 029) MID STRIKE RATE S 1676 0598) UNDER 21 ONLY TALY INT OTHER INT SUPERSTAR SUPERSTAR 0019 (0.018) .0000 (0845) 028 (0.005) 4.306-06 (0 167) 0,000 (0927) .0029 (0.005) 0.0036 (0.001) 0.00002 (0.004) (0159) 0443 (0518) 0428 (0.183) 0.750 (0.002) 1141 (0.042) 0,199 0.745) 0.104 (0.807) 0.104 (0.807) 03730.449) 545 (0.250) 2454 0.00) 0.319 000) 0410 (D.000) 0.505 0.001) 0322 (0074) 0428 (0.205) 0204 0.622) 0330 (0.000) 0419 (0.000 0.337 (0.017) Team fixed effects NOTE: Dependent variable each regression int SALARYh, p values are in parentheses. A constant term B included in SUPERSTAR 1 denotes a dummy variable equal to one for serie A goal-scoring rates of greater than 0.25 and less than or equal to 0.4, whereas SUPERSTAR 2 denotes the exceptional achievement of more than 0.4 goals per serie A game (comprising the top decile of serie A goal scoring forwards). Consider the third set of coefficients (i.e. the last two columns-coefficients and associated p values-that are under the heading "3") 8 1. What is the dependent variable? 2. What does it mean for this regression to have "team fixed effects"? 3. Interpret the coefficient on the variable SUPERSTAR1 4. Is this coefficient statistically significant at a 5% level? Why or why not? 5. Based on the variables SUPERSTAR 1 and SUPERSTAR 2, do you see evidence of 5 existence of a superstar effect?Explanation / Answer
(1) player's earning is here dependnet variable
(2) here overall regression model
(3)the t-statistic for superstar1=coeff/SE(coeff)=0.337/0.017=19.82 is more than typical t(0.05,large df)=1.96,
so superstar1 is positive significant effect on players' earnings
(4) yes, it is significnat
(5) t-statstisc for superstar2=0.674/0.024=28.08, this is also has significant effect on players earnings,
so there is evidence of existence of superstar effect
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.